Guanzhong Yang firmly believes the university provides him with the platform that allows him to access those exclusive vocational resources, and he is always ready to make the best use of them.
In July 2025, at Inspur Cloud Technology Company, as an intern at the Medical Education Cloud Business Uni, Guanzhong Yang developed a multithreaded text processing system to efficiently convert and structure over 1000 pages of technical content. He successfully designed and implemented quality control measures to correct formatting issues, including mixed punctuation and hierarchical misalignment, by analysing recurring issues.
In August 2025, Guanzhong Yang conducted a data extraction, data storage, processing, and visualization study for a rental market analysis project. Later, he processed and analysed a dataset of 150,000 used car records, implemented systematic data cleaning, and built a predictive model that achieved an error rate within budget.
Since September 2025, Guanzhong Yang has been invited to visit many widely famous companies in person, including Jane Street, HSBC, Lazard, and so on. This demonstrates Guanzhong Yang’s long-term vision and professional ambitions.
Since November 2025, Guanzhong Yang has actively participated in many job stimulations from a range of industries, including investment banking, data analytics, and quantitative trading. During these experiences, he gained an understanding of these industries, and successfully applied the theoretical knowledge that he learned to real-world scenarios.
In December 2025, Guanzhong Yang participated in the AlgoTrading Competition hosted by Imperial College’s Algorithm Trading Society. Here, he built a quantitative trading system from the ground up, solidifying his skills in Python, real-time data processing, and systematic strategy design.
In December 2025, Guanzhong Yang was selected from 600+ candidates to participate in a 10-person quantitative Research and Trading team at Queen’s Tower Capital. Here, he supported alpha generation, backtesting pipelines, and statistical validation of trading strategies, and conducted hands-on experience in signal construction, volatility modelling, factor analysis, and scenario testing. He not only assisted in validating model robustness, but also evaluated strategy deployment metrics for simulated portfolios.
In January 2026, Guanzhong Yang participated in the Startup Hackathon co-organised by the Imperial Entrepreneurs Society and Headstart. Within an intensive one-hour challenge, he and his teammates conducted a deep dive into critical pain points in the logistics industry. Focusing on high-demand scenarios such as semiconductor cleanrooms, they designed and proposed an innovative solution, the MAGLIFT, from the ground up. Presenting to an audience of 100+ peers and industry judges, they secured a Top 3 finish out of 30+ competing teams.
Every company visited is a door opened; every coding program written is a brick laid on the path toward mastery. This portfolio is not merely a record; it is a blueprint of becoming, a map of skills acquired and horizons yet to reach.